Biblio
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, “Event-driven workflows for large-scale seismic imaging in the cloud”, in SEG Technical Program Expanded Abstracts, 2019, pp. 3984-3988.
, “High-frequency wavefield recovery with weighted matrix factorizations”, in SEG Technical Program Expanded Abstracts, 2019, pp. 3959-3963.
, “Low-rank representation of subsurface extended image volumes with power iterations”, in SEG Technical Program Expanded Abstracts, 2019, pp. 4470-4474.
, “A numerical solver for least-squares sub-problems in 3D wavefield reconstruction inversion and related problem formulations”, in SEG Technical Program Expanded Abstracts, 2019, pp. 1536-1540.
, “Surface-related multiple elimination with deep learning”, in SEG Technical Program Expanded Abstracts, 2019, pp. 4629-4634.
, “Extended source imaging –- a unifying framework for seismic and medical imaging”, in SEG Technical Program Expanded Abstracts, 2020, pp. 3502-3506.
, “Parameterizing uncertainty by deep invertible networks, an application to reservoir characterization”, in SEG Technical Program Expanded Abstracts, 2020, pp. 1541-1545.
, “Sparsity promoting least-squares migration for long offset sparse OBN”, in SEG Workshop on Promises and Challenges with Sparse Node Ultra-long Offset OBN Acquisition in Imaging and Earth Model Building; virtual, 2020.
, “Transfer learning in large-scale ocean bottom seismic wavefield reconstruction”, in SEG Technical Program Expanded Abstracts, 2020, pp. 1666-1670.
, “Uncertainty quantification in imaging and automatic horizon tracking—a Bayesian deep-prior based approach”, in SEG Technical Program Expanded Abstracts, 2020, pp. 1636-1640.
, “Wavefield recovery with limited-subspace weighted matrix factorizations”, in SEG Technical Program Expanded Abstracts, 2020, pp. 2858-2862.
, “Weak deep priors for seismic imaging”, in SEG Technical Program Expanded Abstracts, 2020, pp. 2998-3002.
, “Compressive time-lapse seismic monitoring of carbon storage and sequestration with the joint recovery model”, in SEG Technical Program Expanded Abstracts, 2021, pp. 3434-3438.
, “Learning by example: fast reliability-aware seismic imaging with normalizing flows”, in SEG Technical Program Expanded Abstracts, 2021, pp. 1580-1585.
, “Low-cost time-lapse seismic imaging of CCS with the joint recovery model”, in SEG Workshop on Geophysical Challenges in Presalt Carbonates; virtual, 2021.
, “A practical workflow for land seismic wavefield recovery with weighted matrix factorization”, in SEG Technical Program Expanded Abstracts, 2021, pp. 145-149.
, “Ultra-low memory seismic inversion with randomized trace estimation”, in SEG Technical Program Expanded Abstracts, 2021, pp. 787-791.
, “Abstractions and algorithms for efficient seismic inversion on accelerators”, in IMAGE Workshop on What's Next for FWI and its Derived Products, 2022.
, “Accelerating innovation with software abstractions for scalable computational geophysics”, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
, “Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators”, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
, “Reliable amortized variational inference with conditional normalizing flows via physics-based latent distribution correction”, in IMAGE Workshop on Subsurface Uncertainty Description and Estimation - Moving Away from Single Prediction with Distribution Learning, 2022.
, “A simulation-free seismic survey design by maximizing the spectral gap”, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
, “Velocity continuation with Fourier neural operators for accelerated uncertainty quantification”, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
, “3D seismic survey design by maximizing the spectral gap”, in International Meeting for Applied Geoscience and Energy, 2023.
, “Amortized Bayesian Full Waveform Inversion and Experimental Design with Normalizing Flows”, in International Meeting for Applied Geoscience and Energy, 2023.